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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

SectionObjectives
Apache Pig- Pig Latin Programming
  • 1. Filtering, grouping, and joining data
    • 2. Data loading and transformation
      - Pig execution model
      • 1. MapReduce translation of Pig scripts
        Hadoop Ecosystem Fundamentals- YARN and Resource Management
        • 1. Resource scheduling concepts
          • 2. Cluster resource allocation
            - HDFS Architecture and Data Storage Concepts
            • 1. Data replication and fault tolerance
              • 2. NameNode and DataNode roles
                Data Processing and Integration- Data ingestion and ETL workflows
                • 1. Batch processing concepts
                  - Hadoop data formats
                  • 1. Text, SequenceFile, and columnar formats
                    Apache Hive- Hive architecture
                    • 1. Metastore and query execution engine
                      - HiveQL Query Language
                      • 1. Schema definition and tables
                        • 2. SELECT, JOIN, and aggregation queries

                          Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:

                          Question 1

                          You need to run the same job many times with minor variations. Rather than hardcoding all job configuration options in your drive code, you've decided to have your Driver subclass org.apache.hadoop.conf.Configured and implement the org.apache.hadoop.util.Tool interface.
                          Indentify which invocation correctly passes.mapred.job.name with a value of Example to Hadoop?

                          A. hadoop setproperty mapred.job.name=Example MyDriver input output
                          B. hadoop setproperty ("mapred.job.name=Example") MyDriver input output
                          C. hadoop "mapred.job.name=Example" MyDriver input output
                          D. hadoop MyDrive -D mapred.job.name=Example input output
                          E. hadoop MyDriver mapred.job.name=Example input output


                          Question 2

                          Which describes how a client reads a file from HDFS?

                          A. The client contacts the NameNode for the block location(s). The NameNode then queries the DataNodes for block locations. The DataNodes respond to the NameNode, and the NameNode redirects the client to the DataNode that holds the requested data block(s). The client then reads the data directly off the DataNode.
                          B. The client queries all DataNodes in parallel. The DataNode that contains the requested data responds directly to the client. The client reads the data directly off the DataNode.
                          C. The client contacts the NameNode for the block location(s). The NameNode contacts the DataNode that holds the requested data block. Data is transferred from the DataNode to the NameNode, and then from the NameNode to the client.
                          D. The client queries the NameNode for the block location(s). The NameNode returns the block location(s) to the client. The client reads the data directory off the DataNode(s).


                          Question 3

                          You have written a Mapper which invokes the following five calls to the OutputColletor.collect method:
                          output.collect (new Text ("Apple"), new Text ("Red") ) ;
                          output.collect (new Text ("Banana"), new Text ("Yellow") ) ;
                          output.collect (new Text ("Apple"), new Text ("Yellow") ) ;
                          output.collect (new Text ("Cherry"), new Text ("Red") ) ;
                          output.collect (new Text ("Apple"), new Text ("Green") ) ;
                          How many times will the Reducer's reduce method be invoked?

                          A. 6
                          B. 1
                          C. 3
                          D. 5
                          E. 0


                          Question 4

                          Which project gives you a distributed, Scalable, data store that allows you random, realtime read/write access to hundreds of terabytes of data?

                          A. Pig
                          B. Flume
                          C. Hive
                          D. Sqoop
                          E. Hue
                          F. HBase
                          G. Oozie


                          Question 5

                          Review the following 'data' file and Pig code.

                          Which one of the following statements is true?

                          A. The code does not execute successfully because D is not a valid relation
                          B. The code executes successfully but there is not output because the D relation is empty
                          C. The Output Of the DUMP D command IS (M,{(M,62.95102),(M,38,95111)})
                          D. The output of the dump d command is (M, {(38,95in),(62,95i02)})


                          Solutions:

                          Question 1
                          Answer: D
                          Question 2
                          Answer: D
                          Question 3
                          Answer: C
                          Question 4
                          Answer: F
                          Question 5
                          Answer: C

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